Investment Income and Non-Life Insurance Pricing

1975 ◽  
Vol 42 (4) ◽  
pp. 567 ◽  
Author(s):  
Lewis J. Spellman ◽  
Robert C. Witt ◽  
William F. Rentz
Keyword(s):  
Life Insurance ◽  
Insurance Pricing ◽  
Investment Income

scholarly journals Contributions from Spatial Models to Non-Life Insurance Pricing: An Empirical Application to Water Damage Risk

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2476
Author(s):  
Maria Victoria Rivas-Lopez ◽  
Roman Minguez-Salido ◽  
Mariano Matilla Matilla Garcia ◽  
Alejandro Echeverria Echeverria Rey
Keyword(s):  
Life Insurance ◽  
Spatial Information ◽  
Spatial Models ◽  
Spatial Error ◽  
Insurance Pricing ◽  
Insurance Portfolio ◽  
Spatial Autoregressive ◽  
Spatial Autoregressive Models ◽  
Insurance Data ◽  
Damage Risk

This paper explores the application of spatial models to non-life insurance data focused on the multi-risk home insurance branch. In the pricing modelling and rating process, spatial information should be considered by actuaries and insurance managers because frequencies and claim sizes may vary by region and the premium should be different considering this rating variable. In addition, it is relevant to examine the spatial dependence due to the fact that the frequency of claims in neighbouring regions is often expected to be more closely related than those in regions far from each other. In this paper, a comparison between spatial models, such as spatial autoregressive models (SAR), the spatial error model (SEM), and the spatial Durbin model (SDM), and a non-spatial model has been developed. The data used for this analysis are for a home insurance portfolio located in Spain, from which we have selected peril of water coverage.

scholarly journals Concordance Probability for Insurance Pricing Models

Risks ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 178
Author(s):  
Jolien Ponnet ◽  
Robin Van Oirbeek ◽  
Tim Verdonck
Keyword(s):  
Life Insurance ◽  
Real Life ◽  
Accurate Estimation ◽  
Large Sample Size ◽  
Pricing Models ◽  
Frequency Model ◽  
Discriminatory Ability ◽  
Insurance Pricing ◽  
Concordance Probability ◽  
Definition Of

The concordance probability, also called the C-index, is a popular measure to capture the discriminatory ability of a predictive model. In this article, the definition of this measure is adapted to the specific needs of the frequency and severity model, typically used during the technical pricing of a non-life insurance product. For the frequency model, the need of two different groups is tackled by defining three new types of the concordance probability. Secondly, these adapted definitions deal with the concept of exposure, which is the duration of a policy or insurance contract. Frequency data typically have a large sample size and therefore we present two fast and accurate estimation procedures for big data. Their good performance is illustrated on two real-life datasets. Upon these examples, we also estimate the concordance probability developed for severity models.

scholarly journals PENGARUH PENDAPATAN ASURANSI TERHADAP PENDAPATAN INVESTASI PADA PERUSAHAAN ASURANSI JIWA DI INDONESIA PERIODE 2014-2018

2020 ◽  
Vol 5 (1) ◽  
pp. 39
Author(s):  
Ratu Humaemah ◽  
Indah Yani
Keyword(s):  
Life Insurance ◽  
Degrees Of Freedom ◽  
Secondary Data ◽  
Business Owners ◽  
Insurance Companies ◽  
Coefficient Of Determination ◽  
Insurance Company ◽  
Life Insurance Company ◽  
Financial Investment ◽  
Investment Income

Abstract Sharia financing and investment activities in principle are activities carried out by property owners (Investors) towards business owners (Issuers) to empower business owners in conducting their business activities where the owner of assets (Investors) hopes to obtain certain benefits. Therefore, financing and financial investment activities are basically the same as other business activities, namely maintaining the principle of halal and fairness. The financial data shown in the table shows that insurance income and investment income in life insurance companies in Indonesia from 2014 to 2018 experienced fluctuating developments. The purpose of this study is to determine whether there is an influence of insurance income on investment income in Islamic life insurance companies in Indonesia. The method used in this study is a quantitative method that uses a classic assumption test, hypothesis testing, and the coefficient of determination test. The data used are secondary data obtained by the official website of a life insurance company. The results showed that the independent variable of insurance income had a significant effect on investment income, this result was seen from the tcount of 8,450 while the ttable obtained from the distribution table t was sought at the significance of 5%: 2 = 2.5% (two-way test) degrees of freedom (df) nk-1 or 30-1-1 = 28 we get t table of 2.04841. because tcount> t table = 8.450> 2.04841 with a significant level of 0.000, because the significant value is smaller than 0.050, it can be concluded that Ha is accepted. This means that insurance income has a positive effect on investment income. From testing the coefficient of determination of 0.708 = 70.8% means that insurance income can explain the effect on investment income of 70.8% and the remaining 29.2% is influenced by other variables not discussed in this study.

Life insurance: pricing

2010 ◽  
pp. 197-243
Author(s):  
Annamaria Olivieri ◽  
Ermanno Pitacco
Keyword(s):  
Life Insurance ◽  
Insurance Pricing
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